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Libros sobre el tema "Algebraic system"

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Publicado: 6 de julio de 2023

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1

Bidoit, Michel, Hans-Jörg Kreowski, Pierre Lescanne, Fernando Orejas y Donald Sannella, eds. Algebraic system specification and development. Berlin/Heidelberg: Springer-Verlag, 1991. http://dx.doi.org/10.1007/bfb0018512.

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2

Bogdan, Marinescu, ed. Linear time-varying systems: Algebraic-analytic approach. Berlin: Springer-Verlag, 2011.

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3

Moore, Derek. An expert system for linear algebraic equations. [S.l: The author], 1985.

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4

Astesiano, Egidio. Algebraic Foundations of Systems Specification. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999.

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5

Ilchmann, Achim. Surveys in Differential-Algebraic Equations I. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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6

Chen, Chi-Tsong. Control system design: Conventional, algebraic, and optimal methods. Stony Brook, NY: Pond Woods Press, 1987.

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7

1946-, Trivedi Kishor Shridharbhai y Institute for Computer Applications in Science and Engineering., eds. Boolean algebraic methods for phased-mission system analysis. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.

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8

1946-, Trivedi Kishor Shridharbhai y Langley Research Center, eds. Phased-mission system analysis using Boolean algebraic methods. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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9

1946-, Trivedi Kishor Shridharbhai y Langley Research Center, eds. Phased-mission system analysis using Boolean algebraic methods. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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10

1946-, Trivedi Kishor Shridharbhai y Langley Research Center, eds. Phased-mission system analysis using Boolean algebraic methods. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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11

Chowdhury, A. R. Lie algebraic methods in integrable systems. Boca Raton: Chapman & Hall/CRC, 2000.

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12

Chowdhury, A. R. Lie algebraic methods in integrable systems. Boca Raton: Chapman & Hall/CRC, 2000.

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13

1957-, Bidoit M., ed. Algebraic system specification and development: A survey and annotated bibliography. Berlin: Springer-Verlag, 1991.

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14

Layton, Richard A. Principles of analytical system dynamics. New York: Springer, 1998.

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15

Aschbacher, Michael. The generalized fitting subsystem of a fusion system. Providence, R.I: American Mathematical Society, 2010.

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16

Geometric algebra: An algebraic system for computer games and animation. Dordrecht: Springer, 2009.

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17

Vince, John. Geometric Algebra: An Algebraic System for Computer Games and Animation. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-379-2.

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18

Jirstrand, Mats. Algebraic methods for modeling and design in control. Linköping, Sweden: Dept. of Electrical Engineering, Linköping University, 1996.

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19

1952-, Helmke Uwe, Prätzel-Wolters Dieter, Zerz Eva y Workshop "Operators, Systems, and Linear Algebra: Three Decades of Algebraic Systems Theory" (1997 : Kaiserslautern, Germany), eds. Operators, systems, and linear algebra: Three decades of algebraic systems theory. Stuttgart: B.G. Teubner, 1997.

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20

Tsay, Y. T. Structural analysis and design of multivariable control systems: An algebraic approach. Berlin: Springer-Verlag, 1988.

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21

Marco, Bernardo y Corradini Flavio, eds. A process algebraic approach to software architecture design. London: Springer, 2010.

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22

The generalized fitting subsystem of a fusion system. Providence, R.I: American Mathematical Society, 2011.

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23

Analog and digital control system design: Transfer-function, state-space, and algebraic methods. Fort Worth: Saunders College Pub., 1993.

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24

Chen, Chi-Tsong. Analog and digital control system design: Transfer-function, state-space, and algebraic methods. Fort Worth: Saunders College Pub, 1992.

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25

Dunmore, A. Development of algebraic reconstruction algorithms for a real time optical process tomography system. Manchester: UMIST, 1993.

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26

Robert, Hermann. Lie-theoretic ODE numerical analysis, mechanics, and differential systems. Brookline, Mass: Math Sci Press, 1994.

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27

Leimkuhler, B. On obtaining a consistent set of initial values for a system of differential-algebraic equations. Urbana, IL (1304 W. Springfield Ave., Urbana 61801): Dept. of Computer Science, University of Illinois, 1987.

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28

Chang-Hee, Won, Schrader Cheryl B, Michel Anthony N y Sain Michael K, eds. Advances in statistical control, algebraic systems theory, and dynamic systems characteristics: A tribute to Michael K. Sain. Boston, Mass: Birkhäuser, 2008.

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29

Song, Soh Gim, ed. Geometric design of linkages. 2a ed. New York: Springer, 2010.

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30

Gilliam, D. S. (David S.), 1946-, ed. A practical guide to geometric regulation for distributed parameter systems. Boca Raton: CRC Press, Taylor & Francis Group, 2016.

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31

Kipps, Mark Rew. A modular approach to modeling an isolated power system on a finite voltage bus using a differential algebraic equation solving routine. Monterey, Calif: Naval Postgraduate School, 1994.

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32

Kallrath, Josef, ed. Algebraic Modeling Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23592-4.

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33

The theory of fusion systems: An algebraic approach. Cambridge: Cambridge University Press, 2011.

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34

Munerman, Viktor, Vadim Borisov y Aleksandra Kononova. Mass data processing. Algebraic models and methods. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1906037.

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Resumen
The monograph is devoted to mathematical and algorithmic support of mass data processing based on algebraic models. One of the most common classes of mass processing is considered - processing of highly active structured data. The construction of algebraic models of data and calculations and methods of proving their correspondence are analyzed. Three algebraic systems are studied, which can be used both as data models and as models of calculations. The algebraic and axiomatic methods of proving the correspondence of these models are investigated. A proof of their correspondence is given: homomorphism and isomorphism. The problem of optimizing the processes of mass processing of data presented in the form of algebraic expressions in the proposed algebra models is raised. The algorithms of synthesis and optimization of calculation of these expressions, the method of symmetric horizontal data distribution providing parallel implementation of calculation of algebraic expressions and generalization of the block algorithm of parallel matrix multiplication for the case of multiplication of multidimensional matrices are described in detail. Architectures of software and hardware complexes for effective parallel implementation of operations in the considered algebra models are proposed. A number of real-world examples illustrating the application of the proposed methods are given. For students, postgraduates and teachers of technical and physical-mathematical universities and faculties.
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35

C, Oliveira Mauricio, Putinar Mihai 1955- y SpringerLink (Online service), eds. Mathematical Methods in Systems, Optimization, and Control: Festschrift in Honor of J. William Helton. Basel: Springer Basel, 2012.

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36

M, Delorme y Mazoyer J, eds. Cellular automata: A parallel model. Dordrecht: Kluwer Academic Publishers, 1999.

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37

Skalna, Iwona. Parametric Interval Algebraic Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75187-0.

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38

Partially ordered algebraic systems. Mineola, N.Y: Dover Publications, 2011.

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39

Reilly, Norman R. Introduction to applied algebraic systems. New York: Oxford University Press, 2008.

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40

Schmidt, Klaus. Dynamical Systems of Algebraic Origin. Basel: Springer Basel, 1995. http://dx.doi.org/10.1007/978-3-0348-0277-2.

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41

Fokas, A. S. y I. M. Gelfand, eds. Algebraic Aspects of Integrable Systems. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-2434-1.

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42

Serdyukova, Natalia y Vladimir Serdyukov. Algebraic Formalization of Smart Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77051-2.

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43

Schmidt, Klaus. Dynamical Systems of Algebraic Origin. Basel: Birkhäuser Basel, 1995. http://dx.doi.org/10.1007/978-3-0348-9236-0.

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44

Astesiano, Egidio, Hans-Jörg Kreowski y Bernd Krieg-Brückner, eds. Algebraic Foundations of Systems Specification. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59851-7.

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45

Serdyukova, Natalia A. y Vladimir I. Serdyukov. Algebraic Identification of Smart Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54470-6.

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46

Rambaud, Salvador Cruz. Algebraic models for accounting systems. Singapore: World Scientific, 2010.

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47

Roberts, J. B. Real Number System in an Algebraic Setting. Dover Publications, Incorporated, 2018.

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48

Roberts, J. B. Real Number System in an Algebraic Setting. Dover Publications, Incorporated, 2018.

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49

Falb, Peter. Methods of Algebraic Geometry in Control Theory : Part I: Scalar Linear Systems and Affine Algebraic Geometry. Birkhäuser, 2018.

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50

Ilchmann, Achim y Timo Reis. Surveys in Differential-Algebraic Equations I. Springer, 2013.

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